An Improved Stanford Method for Persistent Scatterers Applied to 3D Building Reconstruction and Monitoring

Persistent scatterers interferometric Synthetic Aperture Radar (PS-InSAR) is capable of precise topography measurement up to sub-meter scale and monitoring subtle deformation up to mm/year scale for all the radar image pixels with stable radiometric characteristics. As a representative PS-InSAR meth...

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Main Authors: Bo Yang, Huaping Xu, Wei Liu, Junxiang Ge, Chunsheng Li, Jingwen Li
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/11/15/1807
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spelling doaj-455fb0c54a1f4300a6360e76d9335ff32020-11-25T00:49:02ZengMDPI AGRemote Sensing2072-42922019-08-011115180710.3390/rs11151807rs11151807An Improved Stanford Method for Persistent Scatterers Applied to 3D Building Reconstruction and MonitoringBo Yang0Huaping Xu1Wei Liu2Junxiang Ge3Chunsheng Li4Jingwen Li5School of Electronic and Information Engineering, Beihang University, Beijing 100191, ChinaSchool of Electronic and Information Engineering, Beihang University, Beijing 100191, ChinaDepartment of Electronic and Electrical Engineering, University of Sheffield, Sheffield S1 3JD, UKSchool of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaSchool of Electronic and Information Engineering, Beihang University, Beijing 100191, ChinaSchool of Electronic and Information Engineering, Beihang University, Beijing 100191, ChinaPersistent scatterers interferometric Synthetic Aperture Radar (PS-InSAR) is capable of precise topography measurement up to sub-meter scale and monitoring subtle deformation up to mm/year scale for all the radar image pixels with stable radiometric characteristics. As a representative PS-InSAR method, the Stanford Method for Persistent Scatterers (StaMPS) is widely used due to its high density of PS points for both rural and urban areas. However, when it comes to layover regions, which usually happen in urban areas, the StaMPS is limited locally. Moreover, the measurement points are greatly reduced due to the removal of adjacent PS pixels. In this paper, an improved StaMPS method, called IStaMPS, is proposed. The PS pixels are selected with high density by the improved PS selection strategy. Moreover, the topography information not provided in StaMPS can be accurately measured in IStaMPS. Based on the data acquired by TerraSAR-X/TanDEM-X over the Terminal 3 E (T3 E) site of Beijing Capital International Airport and the Chaobai River of Beijing Shunyi District, a comparison between StaMPS-retrieved results and IStaMPS-retrieved ones was performed, which demonstrated that the density of PS points detected by IStaMPS is increased by about 1.8 and 1.6 times for these two areas respectively. Through comparisons of local statistical results of topography estimation and mean deformation rate, the improvement granted by the proposed IStaMPS was demonstrated for both urban areas with complex buildings or man-made targets and non-urban areas with natural targets. In terms of the spatiotemporal deformation variation, the northwest region of T3 E experienced an exceptional uplift during the period from June 2012 to August 2015, and the maximum uplift rate is approximately 4.2 mm per year.https://www.mdpi.com/2072-4292/11/15/1807InSARPS-InSARStaMPStopography measurementdeformation monitoring
collection DOAJ
language English
format Article
sources DOAJ
author Bo Yang
Huaping Xu
Wei Liu
Junxiang Ge
Chunsheng Li
Jingwen Li
spellingShingle Bo Yang
Huaping Xu
Wei Liu
Junxiang Ge
Chunsheng Li
Jingwen Li
An Improved Stanford Method for Persistent Scatterers Applied to 3D Building Reconstruction and Monitoring
Remote Sensing
InSAR
PS-InSAR
StaMPS
topography measurement
deformation monitoring
author_facet Bo Yang
Huaping Xu
Wei Liu
Junxiang Ge
Chunsheng Li
Jingwen Li
author_sort Bo Yang
title An Improved Stanford Method for Persistent Scatterers Applied to 3D Building Reconstruction and Monitoring
title_short An Improved Stanford Method for Persistent Scatterers Applied to 3D Building Reconstruction and Monitoring
title_full An Improved Stanford Method for Persistent Scatterers Applied to 3D Building Reconstruction and Monitoring
title_fullStr An Improved Stanford Method for Persistent Scatterers Applied to 3D Building Reconstruction and Monitoring
title_full_unstemmed An Improved Stanford Method for Persistent Scatterers Applied to 3D Building Reconstruction and Monitoring
title_sort improved stanford method for persistent scatterers applied to 3d building reconstruction and monitoring
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2019-08-01
description Persistent scatterers interferometric Synthetic Aperture Radar (PS-InSAR) is capable of precise topography measurement up to sub-meter scale and monitoring subtle deformation up to mm/year scale for all the radar image pixels with stable radiometric characteristics. As a representative PS-InSAR method, the Stanford Method for Persistent Scatterers (StaMPS) is widely used due to its high density of PS points for both rural and urban areas. However, when it comes to layover regions, which usually happen in urban areas, the StaMPS is limited locally. Moreover, the measurement points are greatly reduced due to the removal of adjacent PS pixels. In this paper, an improved StaMPS method, called IStaMPS, is proposed. The PS pixels are selected with high density by the improved PS selection strategy. Moreover, the topography information not provided in StaMPS can be accurately measured in IStaMPS. Based on the data acquired by TerraSAR-X/TanDEM-X over the Terminal 3 E (T3 E) site of Beijing Capital International Airport and the Chaobai River of Beijing Shunyi District, a comparison between StaMPS-retrieved results and IStaMPS-retrieved ones was performed, which demonstrated that the density of PS points detected by IStaMPS is increased by about 1.8 and 1.6 times for these two areas respectively. Through comparisons of local statistical results of topography estimation and mean deformation rate, the improvement granted by the proposed IStaMPS was demonstrated for both urban areas with complex buildings or man-made targets and non-urban areas with natural targets. In terms of the spatiotemporal deformation variation, the northwest region of T3 E experienced an exceptional uplift during the period from June 2012 to August 2015, and the maximum uplift rate is approximately 4.2 mm per year.
topic InSAR
PS-InSAR
StaMPS
topography measurement
deformation monitoring
url https://www.mdpi.com/2072-4292/11/15/1807
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